Simultaneous solution approaches for large optimization problems.

DOI10.1016/j.cam.2003.09.011zbMath1038.65055OpenAlexW2010175834MaRDI QIDQ1426804

Volker H. Schulz

Publication date: 15 March 2004

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2003.09.011

zbMATH Keywords

algorithmscomputational complexityBingham flownon-Newtonian flowsequential quadratic programming methodsIterative QP solversPartially reduced SQP methodsTopology design

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Non-Newtonian fluids (76A05) Numerical methods based on nonlinear programming (49M37) Existence theories for optimal control problems involving partial differential equations (49J20)

Related Items

State space Newton's method for topology optimization ⋮ Review of formulations for structural and mechanical system optimization

Cites Work

• On the convergence of multi-grid methods with transforming smoothers
• A class of iterative methods for solving saddle point problems
• Primal-dual Newton-type interior-point method for topology optimization
• Practical shape optimization for turbine and compressor blades by the use of PRSQP methods
• A Preconditioned Iterative Method for Saddlepoint Problems
• Ill-Conditioning and Computational Error in Interior Methods for Nonlinear Programming
• A Justification of Eddy Currents Model for the Maxwell Equations
• Solving discretized optimization problems by partially reduced SQP methods
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